Limit theorems for auto regression processwith random parameter v, 0 < v < 1

T.M.Zuparov, A.I.Jovliev

O‘zbekiston matematika jurnali · 2025-yil

Annotatsiya

In this paper we obtain the criterion of weak convergence of the sequence of the sum of the first $n$ terms of the linear process $\left\{X_{kn} ,\; k=1,2,...,n;\; n=1,2,...\right\}$ with random coefficients $\left\{v^{k} ,k\in {\mathbb N}\right\}$, generated by the innovation sequence $\left\{\xi _{kn} ,k\in Z\right\}$ satisfying the condition of infinite smallness to the limit distribution and as a consequence of this result we obtain the analog of the Lindeberg-Feller theorem for the auto regression process with random parameter $v,\; 0{\rm \; }&lt;{\rm \; }v&lt;1$. In addition, the strong law of large numbers and the law of iterated logarithm are proved.

Maqola ma’lumotlari
MualliflarT.M.Zuparov, A.I.Jovliev
JurnalO‘zbekiston matematika jurnali
Nashr sanasi2025-09-06
Jild69
Son3
Betlar176-180
DOI10.29229/uzmj.2025-3-19

Kalit so‘zlar

Auto regression process, linear process, central limit theorem, strong law of large numbers, law of iterated logarithm

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